Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

water_supply is highly overall correlated with Total_Population and 11 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Female_Population is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with Households and 6 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 13 other fieldsHigh correlation
Power_usage is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 11 other fieldsHigh correlation
Business_above_100 is highly overall correlated with High_School_Graduate_ratioHigh correlation
annual_household_income is highly overall correlated with water_supply and 11 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with water_supply and 11 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with Male_Female_Ratio and 1 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 11 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Total_Population and 1 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 12 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 12 other fieldsHigh correlation
Average_Temp is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Monthly_RainfallHigh correlation
Ground_Temp is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
Average_Wind is highly overall correlated with Total_Population and 5 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Power_usage and 3 other fieldsHigh correlation
water_supply has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
employment_insurance_ratio has unique valuesUnique
Ground_Temp has 2 (1.4%) zerosZeros

Reproduction

Analysis started2023-09-01 02:41:46.430902
Analysis finished2023-09-01 02:42:30.389137
Duration43.96 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14628.921
Minimum8958.6333
Maximum22417.067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:30.440888image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum8958.6333
5-th percentile9448.17
Q112071.129
median15216.707
Q316793.202
95-th percentile19372.868
Maximum22417.067
Range13458.433
Interquartile range (IQR)4722.0726

Descriptive statistics

Standard deviation3174.3458
Coefficient of variation (CV)0.21699111
Kurtosis-0.75236055
Mean14628.921
Median Absolute Deviation (MAD)2252.2581
Skewness-0.032318726
Sum2106564.6
Variance10076471
MonotonicityNot monotonic
2023-09-01T11:42:30.523433image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9896.129032 1
 
0.7%
9803 1
 
0.7%
16415.43333 1
 
0.7%
16583.74194 1
 
0.7%
16317.63333 1
 
0.7%
16059.16129 1
 
0.7%
17304.29032 1
 
0.7%
18872.03571 1
 
0.7%
16757.64516 1
 
0.7%
16580.53333 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
8958.633333 1
0.7%
9054.516129 1
0.7%
9067.166667 1
0.7%
9085.612903 1
0.7%
9219.258065 1
0.7%
9267.806452 1
0.7%
9349.967742 1
0.7%
9448.1 1
0.7%
9448.566667 1
0.7%
9471.16129 1
0.7%
ValueCountFrequency (%)
22417.06667 1
0.7%
21386.80645 1
0.7%
21192.09677 1
0.7%
20838.41935 1
0.7%
20451.8 1
0.7%
20399.43333 1
0.7%
20239.96774 1
0.7%
19376.5 1
0.7%
19352.28571 1
0.7%
19064.29032 1
0.7%

Total_Population
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45550.382
Minimum43975
Maximum46805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:30.599290image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum43975
5-th percentile44174.05
Q144602.5
median45796.5
Q346432.75
95-th percentile46738.85
Maximum46805
Range2830
Interquartile range (IQR)1830.25

Descriptive statistics

Standard deviation930.70959
Coefficient of variation (CV)0.020432531
Kurtosis-1.4524183
Mean45550.382
Median Absolute Deviation (MAD)780
Skewness-0.26823582
Sum6559255
Variance866220.34
MonotonicityNot monotonic
2023-09-01T11:42:30.669697image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46402 2
 
1.4%
44224 2
 
1.4%
46767 2
 
1.4%
44786 2
 
1.4%
44033 1
 
0.7%
46240 1
 
0.7%
46265 1
 
0.7%
46281 1
 
0.7%
46272 1
 
0.7%
46338 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
43975 1
0.7%
44033 1
0.7%
44034 1
0.7%
44046 1
0.7%
44085 1
0.7%
44112 1
0.7%
44150 1
0.7%
44173 1
0.7%
44180 1
0.7%
44193 1
0.7%
ValueCountFrequency (%)
46805 1
0.7%
46797 1
0.7%
46767 2
1.4%
46761 1
0.7%
46751 1
0.7%
46749 1
0.7%
46739 1
0.7%
46738 1
0.7%
46726 1
0.7%
46704 1
0.7%

Households
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20936.271
Minimum18479
Maximum23593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:30.741110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum18479
5-th percentile18649.8
Q119500
median20818
Q322416
95-th percentile23425.3
Maximum23593
Range5114
Interquartile range (IQR)2916

Descriptive statistics

Standard deviation1572.7728
Coefficient of variation (CV)0.075121919
Kurtosis-1.2951605
Mean20936.271
Median Absolute Deviation (MAD)1487
Skewness0.15109672
Sum3014823
Variance2473614.4
MonotonicityNot monotonic
2023-09-01T11:42:30.816467image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19160 2
 
1.4%
20334 2
 
1.4%
20348 2
 
1.4%
21379 2
 
1.4%
18479 1
 
0.7%
21992 1
 
0.7%
21814 1
 
0.7%
21827 1
 
0.7%
21947 1
 
0.7%
22049 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
18479 1
0.7%
18490 1
0.7%
18545 1
0.7%
18584 1
0.7%
18608 1
0.7%
18632 1
0.7%
18639 1
0.7%
18648 1
0.7%
18660 1
0.7%
18945 1
0.7%
ValueCountFrequency (%)
23593 1
0.7%
23585 1
0.7%
23559 1
0.7%
23547 1
0.7%
23541 1
0.7%
23516 1
0.7%
23486 1
0.7%
23440 1
0.7%
23342 1
0.7%
23339 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1846176
Minimum1.9701183
Maximum2.382867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:30.892660image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.9701183
5-th percentile1.9879629
Q12.0836242
median2.1965364
Q32.286051
95-th percentile2.3616448
Maximum2.382867
Range0.41274878
Interquartile range (IQR)0.20242681

Descriptive statistics

Standard deviation0.12020173
Coefficient of variation (CV)0.055021864
Kurtosis-1.1507732
Mean2.1846176
Median Absolute Deviation (MAD)0.10269538
Skewness-0.20510836
Sum314.58494
Variance0.014448457
MonotonicityNot monotonic
2023-09-01T11:42:30.965750image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.382867038 1
 
0.7%
2.378312601 1
 
0.7%
2.140610503 1
 
0.7%
2.135895422 1
 
0.7%
2.129672252 1
 
0.7%
2.12522386 1
 
0.7%
2.121206565 1
 
0.7%
2.122966968 1
 
0.7%
2.1142753 1
 
0.7%
2.111222263 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.970118255 1
0.7%
1.9751113 1
0.7%
1.977418396 1
0.7%
1.980183705 1
0.7%
1.980507071 1
0.7%
1.981733996 1
0.7%
1.984756876 1
0.7%
1.987585324 1
0.7%
1.990102404 1
0.7%
1.992545626 1
0.7%
ValueCountFrequency (%)
2.382867038 1
0.7%
2.380695605 1
0.7%
2.378820491 1
0.7%
2.378312601 1
0.7%
2.37661221 1
0.7%
2.370813654 1
0.7%
2.365201996 1
0.7%
2.361969112 1
0.7%
2.359807074 1
0.7%
2.339733108 1
0.7%

Male_Population
Real number (ℝ)

Distinct137
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23209.514
Minimum22443
Maximum23936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:31.039024image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum22443
5-th percentile22489.75
Q122674
median23270.5
Q323736.25
95-th percentile23881.1
Maximum23936
Range1493
Interquartile range (IQR)1062.25

Descriptive statistics

Standard deviation514.72058
Coefficient of variation (CV)0.022177137
Kurtosis-1.4954041
Mean23209.514
Median Absolute Deviation (MAD)526
Skewness-0.083911735
Sum3342170
Variance264937.27
MonotonicityNot monotonic
2023-09-01T11:42:31.115197image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22504 2
 
1.4%
23812 2
 
1.4%
22513 2
 
1.4%
23687 2
 
1.4%
22499 2
 
1.4%
23859 2
 
1.4%
23541 2
 
1.4%
23454 1
 
0.7%
23514 1
 
0.7%
23533 1
 
0.7%
Other values (127) 127
88.2%
ValueCountFrequency (%)
22443 1
0.7%
22444 1
0.7%
22448 1
0.7%
22450 1
0.7%
22468 1
0.7%
22483 1
0.7%
22484 1
0.7%
22489 1
0.7%
22494 1
0.7%
22499 2
1.4%
ValueCountFrequency (%)
23936 1
0.7%
23927 1
0.7%
23922 1
0.7%
23916 1
0.7%
23910 1
0.7%
23903 1
0.7%
23895 1
0.7%
23882 1
0.7%
23876 1
0.7%
23872 1
0.7%

Female_Population
Real number (ℝ)

Distinct135
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22340.868
Minimum21527
Maximum22933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:31.197153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum21527
5-th percentile21643.4
Q121933.25
median22506.5
Q322676.75
95-th percentile22885
Maximum22933
Range1406
Interquartile range (IQR)743.5

Descriptive statistics

Standard deviation425.21753
Coefficient of variation (CV)0.01903317
Kurtosis-1.2939831
Mean22340.868
Median Absolute Deviation (MAD)270
Skewness-0.42112348
Sum3217085
Variance180809.95
MonotonicityNot monotonic
2023-09-01T11:42:31.274693image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22885 3
 
2.1%
22844 3
 
2.1%
22805 2
 
1.4%
22637 2
 
1.4%
22039 2
 
1.4%
22578 2
 
1.4%
22670 2
 
1.4%
22726 1
 
0.7%
22701 1
 
0.7%
22689 1
 
0.7%
Other values (125) 125
86.8%
ValueCountFrequency (%)
21527 1
0.7%
21529 1
0.7%
21590 1
0.7%
21596 1
0.7%
21601 1
0.7%
21624 1
0.7%
21637 1
0.7%
21641 1
0.7%
21657 1
0.7%
21669 1
0.7%
ValueCountFrequency (%)
22933 1
 
0.7%
22932 1
 
0.7%
22905 1
 
0.7%
22900 1
 
0.7%
22898 1
 
0.7%
22897 1
 
0.7%
22895 1
 
0.7%
22885 3
2.1%
22881 1
 
0.7%
22851 1
 
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0388371
Minimum1.0279157
Maximum1.0549625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:31.353889image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0279157
5-th percentile1.0318919
Q11.0343745
median1.0359381
Q31.0425349
95-th percentile1.0536775
Maximum1.0549625
Range0.02704679
Interquartile range (IQR)0.0081603513

Descriptive statistics

Standard deviation0.0067697443
Coefficient of variation (CV)0.0065166564
Kurtosis0.094428323
Mean1.0388371
Median Absolute Deviation (MAD)0.0029048345
Skewness1.0693534
Sum149.59254
Variance4.5829438 × 10-5
MonotonicityNot monotonic
2023-09-01T11:42:31.434596image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.045287751 1
 
0.7%
1.042783481 1
 
0.7%
1.033716779 1
 
0.7%
1.034673942 1
 
0.7%
1.035236671 1
 
0.7%
1.035224274 1
 
0.7%
1.035634156 1
 
0.7%
1.037641265 1
 
0.7%
1.039648352 1
 
0.7%
1.040610029 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.027915716 1
0.7%
1.029748591 1
0.7%
1.030269505 1
0.7%
1.030272139 1
0.7%
1.030282818 1
0.7%
1.030745133 1
0.7%
1.031202887 1
0.7%
1.031851623 1
0.7%
1.032120295 1
0.7%
1.032442051 1
0.7%
ValueCountFrequency (%)
1.054962506 1
0.7%
1.054681284 1
0.7%
1.054656852 1
0.7%
1.054279289 1
0.7%
1.054234737 1
0.7%
1.053989678 1
0.7%
1.053924162 1
0.7%
1.053706638 1
0.7%
1.053512296 1
0.7%
1.053229428 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct81
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.007639
Minimum21.2
Maximum31.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:31.511539image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum21.2
5-th percentile21.515
Q123.075
median24.25
Q326.65
95-th percentile30.17
Maximum31.1
Range9.9
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation2.6482104
Coefficient of variation (CV)0.10589606
Kurtosis-0.55940478
Mean25.007639
Median Absolute Deviation (MAD)1.75
Skewness0.61532748
Sum3601.1
Variance7.0130182
MonotonicityNot monotonic
2023-09-01T11:42:32.139765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.7 8
 
5.6%
24 6
 
4.2%
23.6 5
 
3.5%
24.1 4
 
2.8%
24.4 4
 
2.8%
24.5 4
 
2.8%
21.2 3
 
2.1%
23.9 3
 
2.1%
24.6 3
 
2.1%
23 3
 
2.1%
Other values (71) 101
70.1%
ValueCountFrequency (%)
21.2 3
2.1%
21.3 3
2.1%
21.5 2
1.4%
21.6 2
1.4%
21.7 3
2.1%
21.8 3
2.1%
21.9 3
2.1%
22 1
 
0.7%
22.1 2
1.4%
22.2 2
1.4%
ValueCountFrequency (%)
31.1 1
0.7%
30.9 1
0.7%
30.8 1
0.7%
30.7 1
0.7%
30.5 1
0.7%
30.4 1
0.7%
30.3 1
0.7%
30.2 1
0.7%
30 1
0.7%
29.9 2
1.4%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47139927
Minimum30317000
Maximum71894627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.217744image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum30317000
5-th percentile32080850
Q137578531
median46713000
Q354908981
95-th percentile64452588
Maximum71894627
Range41577627
Interquartile range (IQR)17330450

Descriptive statistics

Standard deviation10481965
Coefficient of variation (CV)0.22235854
Kurtosis-0.96971581
Mean47139927
Median Absolute Deviation (MAD)8322890
Skewness0.25808878
Sum6.7881494 × 109
Variance1.0987159 × 1014
MonotonicityNot monotonic
2023-09-01T11:42:32.290681image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62609000 1
 
0.7%
59106000 1
 
0.7%
39364339 1
 
0.7%
36860991 1
 
0.7%
50246839 1
 
0.7%
60673290 1
 
0.7%
66038684 1
 
0.7%
67456931 1
 
0.7%
54898308 1
 
0.7%
47990767 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
30317000 1
0.7%
30762000 1
0.7%
30844000 1
0.7%
31200000 1
0.7%
31503000 1
0.7%
31930000 1
0.7%
31964000 1
0.7%
32057000 1
0.7%
32216000 1
0.7%
32394000 1
0.7%
ValueCountFrequency (%)
71894627 1
0.7%
67479351 1
0.7%
67456931 1
0.7%
66768374 1
0.7%
66038684 1
0.7%
65258908 1
0.7%
64786777 1
0.7%
64562810 1
0.7%
63828000 1
0.7%
63728000 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2188.0417
Minimum1083
Maximum4376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.363775image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1083
5-th percentile1457.95
Q11808.5
median2223
Q32489
95-th percentile2779.8
Maximum4376
Range3293
Interquartile range (IQR)680.5

Descriptive statistics

Standard deviation475.71893
Coefficient of variation (CV)0.21741767
Kurtosis2.1705326
Mean2188.0417
Median Absolute Deviation (MAD)314
Skewness0.45680137
Sum315078
Variance226308.5
MonotonicityNot monotonic
2023-09-01T11:42:32.443415image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2650 2
 
1.4%
2379 2
 
1.4%
1682 2
 
1.4%
2313 2
 
1.4%
2463 2
 
1.4%
2678 1
 
0.7%
2610 1
 
0.7%
2376 1
 
0.7%
1950 1
 
0.7%
2167 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
1083 1
0.7%
1122 1
0.7%
1224 1
0.7%
1295 1
0.7%
1323 1
0.7%
1370 1
0.7%
1417 1
0.7%
1450 1
0.7%
1503 1
0.7%
1505 1
0.7%
ValueCountFrequency (%)
4376 1
0.7%
3250 1
0.7%
3146 1
0.7%
3118 1
0.7%
3008 1
0.7%
2961 1
0.7%
2798 1
0.7%
2784 1
0.7%
2756 1
0.7%
2753 1
0.7%

Business_above_100
Real number (ℝ)

Distinct18
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.666667
Minimum13
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.512015image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14
Q116
median20
Q325.25
95-th percentile28
Maximum30
Range17
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation4.9852931
Coefficient of variation (CV)0.24122386
Kurtosis-1.2670098
Mean20.666667
Median Absolute Deviation (MAD)4
Skewness0.30674451
Sum2976
Variance24.853147
MonotonicityNot monotonic
2023-09-01T11:42:32.570848image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
16 18
12.5%
15 18
12.5%
21 16
11.1%
28 14
9.7%
27 12
8.3%
19 11
 
7.6%
17 8
 
5.6%
22 7
 
4.9%
14 7
 
4.9%
20 5
 
3.5%
Other values (8) 28
19.4%
ValueCountFrequency (%)
13 2
 
1.4%
14 7
 
4.9%
15 18
12.5%
16 18
12.5%
17 8
5.6%
18 4
 
2.8%
19 11
7.6%
20 5
 
3.5%
21 16
11.1%
22 7
 
4.9%
ValueCountFrequency (%)
30 3
 
2.1%
29 3
 
2.1%
28 14
9.7%
27 12
8.3%
26 4
 
2.8%
25 5
 
3.5%
24 4
 
2.8%
23 3
 
2.1%
22 7
4.9%
21 16
11.1%

complex_area
Real number (ℝ)

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1946640.6
Minimum1760221
Maximum2726943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.632929image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1760221
5-th percentile1760221
Q11761105.2
median1763060
Q31763060
95-th percentile2726943
Maximum2726943
Range966722
Interquartile range (IQR)1954.75

Descriptive statistics

Standard deviation369841.25
Coefficient of variation (CV)0.18998949
Kurtosis0.35368424
Mean1946640.6
Median Absolute Deviation (MAD)1660
Skewness1.5230607
Sum2.8031624 × 108
Variance1.3678255 × 1011
MonotonicityNot monotonic
2023-09-01T11:42:32.685261image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1763060 56
38.9%
1760221 36
25.0%
2726943 17
 
11.8%
1761400 12
 
8.3%
2614270 9
 
6.2%
1763059 6
 
4.2%
1763539 5
 
3.5%
2599206 3
 
2.1%
ValueCountFrequency (%)
1760221 36
25.0%
1761400 12
 
8.3%
1763059 6
 
4.2%
1763060 56
38.9%
1763539 5
 
3.5%
2599206 3
 
2.1%
2614270 9
 
6.2%
2726943 17
 
11.8%
ValueCountFrequency (%)
2726943 17
 
11.8%
2614270 9
 
6.2%
2599206 3
 
2.1%
1763539 5
 
3.5%
1763060 56
38.9%
1763059 6
 
4.2%
1761400 12
 
8.3%
1760221 36
25.0%

annual_household_income
Real number (ℝ)

Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766.16667
Minimum555
Maximum1121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.738018image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile555
Q1657
median707.5
Q3847.25
95-th percentile1121
Maximum1121
Range566
Interquartile range (IQR)190.25

Descriptive statistics

Standard deviation177.00105
Coefficient of variation (CV)0.2310216
Kurtosis-0.65649883
Mean766.16667
Median Absolute Deviation (MAD)93.5
Skewness0.84267311
Sum110328
Variance31329.371
MonotonicityNot monotonic
2023-09-01T11:42:32.789480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
727 24
16.7%
555 12
8.3%
600 12
8.3%
675 12
8.3%
1010 12
8.3%
606 12
8.3%
674 12
8.3%
688 12
8.3%
793 12
8.3%
1018 12
8.3%
ValueCountFrequency (%)
555 12
8.3%
600 12
8.3%
606 12
8.3%
674 12
8.3%
675 12
8.3%
688 12
8.3%
727 24
16.7%
793 12
8.3%
1010 12
8.3%
1018 12
8.3%
ValueCountFrequency (%)
1121 12
8.3%
1018 12
8.3%
1010 12
8.3%
793 12
8.3%
727 24
16.7%
688 12
8.3%
675 12
8.3%
674 12
8.3%
606 12
8.3%
600 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean522.91667
Minimum451
Maximum572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.843373image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum451
5-th percentile451
Q1505.25
median522
Q3548.75
95-th percentile572
Maximum572
Range121
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation36.921671
Coefficient of variation (CV)0.07060718
Kurtosis-0.69252695
Mean522.91667
Median Absolute Deviation (MAD)21
Skewness-0.34949801
Sum75300
Variance1363.2098
MonotonicityNot monotonic
2023-09-01T11:42:32.905454image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
570 12
8.3%
572 12
8.3%
538 12
8.3%
526 12
8.3%
542 12
8.3%
569 12
8.3%
500 12
8.3%
512 12
8.3%
518 12
8.3%
507 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
451 12
8.3%
470 12
8.3%
500 12
8.3%
507 12
8.3%
512 12
8.3%
518 12
8.3%
526 12
8.3%
538 12
8.3%
542 12
8.3%
569 12
8.3%
ValueCountFrequency (%)
572 12
8.3%
570 12
8.3%
569 12
8.3%
542 12
8.3%
538 12
8.3%
526 12
8.3%
518 12
8.3%
512 12
8.3%
507 12
8.3%
500 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0015586
Minimum0.88809947
Maximum1.1682028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:32.962793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.88809947
5-th percentile0.88809947
Q10.91267559
median0.96175579
Q31.0692052
95-th percentile1.1682028
Maximum1.1682028
Range0.2801033
Interquartile range (IQR)0.1565296

Descriptive statistics

Standard deviation0.096293736
Coefficient of variation (CV)0.096143883
Kurtosis-1.2110865
Mean1.0015586
Median Absolute Deviation (MAD)0.066206943
Skewness0.49936125
Sum144.22444
Variance0.0092724836
MonotonicityNot monotonic
2023-09-01T11:42:33.016965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.043956044 12
8.3%
0.9662162162 12
8.3%
0.9572953737 12
8.3%
0.9147826087 12
8.3%
0.9063545151 12
8.3%
0.956302521 12
8.3%
0.8880994671 12
8.3%
0.9029982363 12
8.3%
1.057142857 12
8.3%
1.168202765 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.8880994671 12
8.3%
0.9029982363 12
8.3%
0.9063545151 12
8.3%
0.9147826087 12
8.3%
0.956302521 12
8.3%
0.9572953737 12
8.3%
0.9662162162 12
8.3%
1.043956044 12
8.3%
1.057142857 12
8.3%
1.105392157 12
8.3%
ValueCountFrequency (%)
1.168202765 12
8.3%
1.151960784 12
8.3%
1.105392157 12
8.3%
1.057142857 12
8.3%
1.043956044 12
8.3%
0.9662162162 12
8.3%
0.9572953737 12
8.3%
0.956302521 12
8.3%
0.9147826087 12
8.3%
0.9063545151 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39422348
Minimum27625210
Maximum56297395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:33.074527image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum27625210
5-th percentile27625210
Q131768685
median35878826
Q348265670
95-th percentile56297395
Maximum56297395
Range28672185
Interquartile range (IQR)16496985

Descriptive statistics

Standard deviation9796809.7
Coefficient of variation (CV)0.24850904
Kurtosis-1.2247315
Mean39422348
Median Absolute Deviation (MAD)6163670
Skewness0.53178332
Sum5.6768181 × 109
Variance9.5977481 × 1013
MonotonicityIncreasing
2023-09-01T11:42:33.127035image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
27625210 12
8.3%
28836709 12
8.3%
30593604 12
8.3%
32160379 12
8.3%
33623259 12
8.3%
34629057 12
8.3%
37128596 12
8.3%
39641900 12
8.3%
47425504 12
8.3%
50786170 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
27625210 12
8.3%
28836709 12
8.3%
30593604 12
8.3%
32160379 12
8.3%
33623259 12
8.3%
34629057 12
8.3%
37128596 12
8.3%
39641900 12
8.3%
47425504 12
8.3%
50786170 12
8.3%
ValueCountFrequency (%)
56297395 12
8.3%
54320394 12
8.3%
50786170 12
8.3%
47425504 12
8.3%
39641900 12
8.3%
37128596 12
8.3%
34629057 12
8.3%
33623259 12
8.3%
32160379 12
8.3%
30593604 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.05
Minimum71.3
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:33.184143image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum71.3
5-th percentile71.3
Q1108.475
median113.9
Q3119.825
95-th percentile141
Maximum141
Range69.7
Interquartile range (IQR)11.35

Descriptive statistics

Standard deviation16.923547
Coefficient of variation (CV)0.14838708
Kurtosis1.3905123
Mean114.05
Median Absolute Deviation (MAD)5.55
Skewness-0.83421493
Sum16423.2
Variance286.40643
MonotonicityNot monotonic
2023-09-01T11:42:33.239740image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
112.7 12
8.3%
108.6 12
8.3%
102.2 12
8.3%
71.3 12
8.3%
123.5 12
8.3%
113.2 12
8.3%
117.8 12
8.3%
118.6 12
8.3%
141 12
8.3%
137 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
71.3 12
8.3%
102.2 12
8.3%
108.1 12
8.3%
108.6 12
8.3%
112.7 12
8.3%
113.2 12
8.3%
114.6 12
8.3%
117.8 12
8.3%
118.6 12
8.3%
123.5 12
8.3%
ValueCountFrequency (%)
141 12
8.3%
137 12
8.3%
123.5 12
8.3%
118.6 12
8.3%
117.8 12
8.3%
114.6 12
8.3%
113.2 12
8.3%
112.7 12
8.3%
108.6 12
8.3%
108.1 12
8.3%

employment_ratio
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9475.4167
Minimum7339
Maximum12140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:33.313687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum7339
5-th percentile7796.9
Q18514.75
median9470.5
Q310122.75
95-th percentile11579
Maximum12140
Range4801
Interquartile range (IQR)1608

Descriptive statistics

Standard deviation1140.1328
Coefficient of variation (CV)0.12032535
Kurtosis-0.45921343
Mean9475.4167
Median Absolute Deviation (MAD)770.5
Skewness0.2745978
Sum1364460
Variance1299902.8
MonotonicityNot monotonic
2023-09-01T11:42:33.387203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10249 2
 
1.4%
9440 2
 
1.4%
11579 2
 
1.4%
8025 2
 
1.4%
9561 1
 
0.7%
9512 1
 
0.7%
9472 1
 
0.7%
9506 1
 
0.7%
9712 1
 
0.7%
9988 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
7339 1
0.7%
7459 1
0.7%
7647 1
0.7%
7696 1
0.7%
7727 1
0.7%
7752 1
0.7%
7755 1
0.7%
7796 1
0.7%
7802 1
0.7%
7833 1
0.7%
ValueCountFrequency (%)
12140 1
0.7%
11981 1
0.7%
11903 1
0.7%
11851 1
0.7%
11826 1
0.7%
11825 1
0.7%
11617 1
0.7%
11579 2
1.4%
11531 1
0.7%
11399 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20765678
Minimum0.16667045
Maximum0.26061009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:33.460566image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.16667045
5-th percentile0.17616931
Q10.19146969
median0.20649217
Q30.21789277
95-th percentile0.24853255
Maximum0.26061009
Range0.093939642
Interquartile range (IQR)0.026423078

Descriptive statistics

Standard deviation0.021397277
Coefficient of variation (CV)0.10304155
Kurtosis-0.19111435
Mean0.20765678
Median Absolute Deviation (MAD)0.012554987
Skewness0.40906676
Sum29.902576
Variance0.00045784348
MonotonicityNot monotonic
2023-09-01T11:42:33.534874image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1666704517 1
 
0.7%
0.1696191018 1
 
0.7%
0.2061417767 1
 
0.7%
0.2048442907 1
 
0.7%
0.2054684967 1
 
0.7%
0.2039713921 1
 
0.7%
0.2098893499 1
 
0.7%
0.2155466356 1
 
0.7%
0.2060471531 1
 
0.7%
0.2090458755 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.1666704517 1
0.7%
0.1696191018 1
0.7%
0.173204983 1
0.7%
0.1744649982 1
0.7%
0.1747873688 1
0.7%
0.1754123956 1
0.7%
0.1755597311 1
0.7%
0.1761250678 1
0.7%
0.1764200434 1
0.7%
0.1765779982 1
0.7%
ValueCountFrequency (%)
0.2606100938 1
0.7%
0.2571802688 1
0.7%
0.2552374826 1
0.7%
0.2544989907 1
0.7%
0.2544050257 1
0.7%
0.2534939552 1
0.7%
0.2497742421 1
0.7%
0.2485350619 1
0.7%
0.248518287 1
0.7%
0.2484017677 1
0.7%

Average_Temp
Real number (ℝ)

Distinct112
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.4875
Minimum-7.7
Maximum27.4
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)16.0%
Memory size6.3 KiB
2023-09-01T11:42:33.607736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-7.7
5-th percentile-2.855
Q13.4
median13.55
Q321.875
95-th percentile26.2
Maximum27.4
Range35.1
Interquartile range (IQR)18.475

Descriptive statistics

Standard deviation10.196111
Coefficient of variation (CV)0.81650539
Kurtosis-1.3200592
Mean12.4875
Median Absolute Deviation (MAD)8.85
Skewness-0.15821384
Sum1798.2
Variance103.96068
MonotonicityNot monotonic
2023-09-01T11:42:33.678312image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.2 4
 
2.8%
-1.6 3
 
2.1%
19.9 3
 
2.1%
1.3 3
 
2.1%
0.8 3
 
2.1%
7.3 3
 
2.1%
13.2 2
 
1.4%
4.9 2
 
1.4%
23.6 2
 
1.4%
19.5 2
 
1.4%
Other values (102) 117
81.2%
ValueCountFrequency (%)
-7.7 1
0.7%
-5 1
0.7%
-4.9 2
1.4%
-3.9 1
0.7%
-3.8 1
0.7%
-3.1 1
0.7%
-2.9 1
0.7%
-2.6 1
0.7%
-2.5 1
0.7%
-2.2 1
0.7%
ValueCountFrequency (%)
27.4 1
 
0.7%
27.1 2
1.4%
27 1
 
0.7%
26.9 1
 
0.7%
26.7 1
 
0.7%
26.5 1
 
0.7%
26.2 4
2.8%
26.1 2
1.4%
26 1
 
0.7%
25.9 1
 
0.7%

Monthly_Rainfall
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.41806
Minimum0.7
Maximum882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:33.754406image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile8.7
Q125.15
median50.6
Q3123.15
95-th percentile364.095
Maximum882
Range881.3
Interquartile range (IQR)98

Descriptive statistics

Standard deviation134.5907
Coefficient of variation (CV)1.3270881
Kurtosis11.230837
Mean101.41806
Median Absolute Deviation (MAD)32.95
Skewness3.0341863
Sum14604.2
Variance18114.656
MonotonicityNot monotonic
2023-09-01T11:42:33.824114image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258.2 2
 
1.4%
35.2 2
 
1.4%
19 2
 
1.4%
16.8 2
 
1.4%
11 2
 
1.4%
505.6 1
 
0.7%
273.6 1
 
0.7%
16 1
 
0.7%
15.9 1
 
0.7%
4.4 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
0.7 1
0.7%
1.6 1
0.7%
2.1 1
0.7%
3.8 1
0.7%
4.2 1
0.7%
4.4 1
0.7%
4.9 1
0.7%
8.4 1
0.7%
10.4 1
0.7%
10.5 1
0.7%
ValueCountFrequency (%)
882 1
0.7%
642.2 1
0.7%
634 1
0.7%
550.2 1
0.7%
505.6 1
0.7%
449.6 1
0.7%
369.8 1
0.7%
364.8 1
0.7%
360.1 1
0.7%
338.1 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct35
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63
Minimum44
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:33.896335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile50
Q156
median64
Q369.25
95-th percentile77.7
Maximum82
Range38
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation8.6364004
Coefficient of variation (CV)0.13708572
Kurtosis-0.76246549
Mean63
Median Absolute Deviation (MAD)7
Skewness-0.068562777
Sum9072
Variance74.587413
MonotonicityNot monotonic
2023-09-01T11:42:33.963710image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
64 12
 
8.3%
68 9
 
6.2%
58 8
 
5.6%
71 8
 
5.6%
66 7
 
4.9%
67 6
 
4.2%
56 6
 
4.2%
53 6
 
4.2%
73 5
 
3.5%
60 5
 
3.5%
Other values (25) 72
50.0%
ValueCountFrequency (%)
44 1
 
0.7%
45 2
 
1.4%
47 1
 
0.7%
48 2
 
1.4%
49 1
 
0.7%
50 5
3.5%
51 4
2.8%
52 3
2.1%
53 6
4.2%
54 3
2.1%
ValueCountFrequency (%)
82 1
 
0.7%
79 3
 
2.1%
78 4
2.8%
76 2
 
1.4%
75 2
 
1.4%
74 5
3.5%
73 5
3.5%
72 3
 
2.1%
71 8
5.6%
70 3
 
2.1%

Ground_Temp
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct115
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.778472
Minimum-5.5
Maximum32
Zeros2
Zeros (%)1.4%
Negative22
Negative (%)15.3%
Memory size6.3 KiB
2023-09-01T11:42:34.038665image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-5.5
5-th percentile-1.8
Q14.225
median14.25
Q324.525
95-th percentile28.485
Maximum32
Range37.5
Interquartile range (IQR)20.3

Descriptive statistics

Standard deviation11.081309
Coefficient of variation (CV)0.80424801
Kurtosis-1.4543629
Mean13.778472
Median Absolute Deviation (MAD)10.6
Skewness-0.068373164
Sum1984.1
Variance122.79541
MonotonicityNot monotonic
2023-09-01T11:42:34.112254image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.8 3
 
2.1%
-1.5 3
 
2.1%
-1.7 3
 
2.1%
26.6 3
 
2.1%
27.5 2
 
1.4%
21.7 2
 
1.4%
-3.4 2
 
1.4%
22.2 2
 
1.4%
0 2
 
1.4%
15.2 2
 
1.4%
Other values (105) 120
83.3%
ValueCountFrequency (%)
-5.5 1
 
0.7%
-3.4 2
1.4%
-2.8 1
 
0.7%
-2.7 1
 
0.7%
-2.3 1
 
0.7%
-1.9 1
 
0.7%
-1.8 2
1.4%
-1.7 3
2.1%
-1.5 3
2.1%
-1.2 1
 
0.7%
ValueCountFrequency (%)
32 1
0.7%
30.6 2
1.4%
29.5 1
0.7%
29.3 1
0.7%
28.8 1
0.7%
28.6 1
0.7%
28.5 1
0.7%
28.4 1
0.7%
28.1 2
1.4%
28 1
0.7%

Average_Wind
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2194444
Minimum0.6
Maximum2.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:34.178010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.8
Q11
median1.2
Q31.4
95-th percentile1.8
Maximum2.1
Range1.5
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.31584669
Coefficient of variation (CV)0.25900867
Kurtosis-0.11357238
Mean1.2194444
Median Absolute Deviation (MAD)0.2
Skewness0.58039557
Sum175.6
Variance0.09975913
MonotonicityNot monotonic
2023-09-01T11:42:34.232193image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.2 23
16.0%
1.1 20
13.9%
0.8 15
10.4%
1 14
9.7%
0.9 13
9.0%
1.3 13
9.0%
1.4 12
8.3%
1.6 9
 
6.2%
1.7 7
 
4.9%
1.5 6
 
4.2%
Other values (6) 12
8.3%
ValueCountFrequency (%)
0.6 1
 
0.7%
0.7 2
 
1.4%
0.8 15
10.4%
0.9 13
9.0%
1 14
9.7%
1.1 20
13.9%
1.2 23
16.0%
1.3 13
9.0%
1.4 12
8.3%
1.5 6
 
4.2%
ValueCountFrequency (%)
2.1 1
 
0.7%
2 3
 
2.1%
1.9 2
 
1.4%
1.8 3
 
2.1%
1.7 7
 
4.9%
1.6 9
 
6.2%
1.5 6
 
4.2%
1.4 12
8.3%
1.3 13
9.0%
1.2 23
16.0%

Average_Pressure
Real number (ℝ)

Distinct99
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean998.50278
Minimum988.6
Maximum1008.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T11:42:34.303794image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum988.6
5-th percentile989.6
Q1992.3
median999.1
Q31004.325
95-th percentile1006.8
Maximum1008.6
Range20
Interquartile range (IQR)12.025

Descriptive statistics

Standard deviation6.1169139
Coefficient of variation (CV)0.006126086
Kurtosis-1.4229774
Mean998.50278
Median Absolute Deviation (MAD)5.65
Skewness-0.11071392
Sum143784.4
Variance37.416636
MonotonicityNot monotonic
2023-09-01T11:42:34.378899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003.4 3
 
2.1%
1006.8 3
 
2.1%
1004.8 3
 
2.1%
1002.6 3
 
2.1%
999.1 3
 
2.1%
989.2 3
 
2.1%
990.2 3
 
2.1%
1006.4 2
 
1.4%
1005.3 2
 
1.4%
1007.2 2
 
1.4%
Other values (89) 117
81.2%
ValueCountFrequency (%)
988.6 1
 
0.7%
988.8 2
1.4%
989.1 1
 
0.7%
989.2 3
2.1%
989.6 2
1.4%
989.7 1
 
0.7%
989.8 1
 
0.7%
989.9 2
1.4%
990.1 1
 
0.7%
990.2 3
2.1%
ValueCountFrequency (%)
1008.6 1
 
0.7%
1008.5 1
 
0.7%
1007.7 1
 
0.7%
1007.6 1
 
0.7%
1007.2 2
1.4%
1007 1
 
0.7%
1006.8 3
2.1%
1006.6 1
 
0.7%
1006.4 2
1.4%
1006.3 1
 
0.7%

Interactions

2023-09-01T11:42:28.473516image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:46.842049image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:48.873937image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.604275image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.550292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.143397image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:56.065521image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.585122image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.240921image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.833076image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.431159image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.508398image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:07.178774image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.841773image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.462350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.382552image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:14.004829image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.582614image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:17.195980image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.710817image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.223760image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.277694image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.728298image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.319160image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.901610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.538116image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:46.989322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:48.945751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.678864image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.614978image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.209100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:56.134900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.649296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.301976image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.903916image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.863627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.575180image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:07.243183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.914159image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.522116image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.447504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:14.066482image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.647938image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:17.257767image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.775754image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.287204image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.335790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.789488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.384260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.968047image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.602850image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:47.075486image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:49.010813image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.754519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.677663image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.272382image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:56.214940image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.710505image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.364373image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.963475image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.926987image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.638255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:07.302393image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.977407image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.579641image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.517231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:14.134354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.709509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:17.316020image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.832820image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.355833image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.392205image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.850464image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.446419image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:27.038513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.660190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:47.168197image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:49.078484image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.815779image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.737271image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.335758image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:56.286883image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.772837image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.423255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:02.034084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.986624image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.708422image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:07.357875image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:09.038592image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.635058image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.576674image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:14.190578image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.766794image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:17.373336image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.888211image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.415852image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.445076image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.910112image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.503214image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:27.103208image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.719016image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:47.253835image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:49.143747image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.904509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.795810image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.398954image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:56.356481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
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2023-09-01T11:41:59.878075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.524800image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.114575image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.170609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:06.829508image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.506226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.141206image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.070533image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:13.614761image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.263763image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:16.872486image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.393497image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:19.895204image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:21.971053image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.425125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:24.999980image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.569139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.153893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:29.807412image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:48.570131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.314782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.294429image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:53.889159image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:55.707126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.289613image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:59.954390image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.582405image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.173314image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.231845image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:06.890791image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.569391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.203131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.126924image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:13.702880image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.320133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:16.928544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.446272image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:19.965510image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.029832image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.479561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.059280image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.625870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.210673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:29.877549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:48.642993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.384401image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.359253image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:53.953804image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:55.785752image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.364177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.028154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.643936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.240863image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.305001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:06.974936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.635808image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.264115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.192166image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:13.795789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.385224image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:16.992575image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.511608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.038493image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.091559image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.542438image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.125081image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.691404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.279026image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:29.942264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:48.716533image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.456223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.421942image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.016376image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:55.862686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.443468image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.109783image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.705112image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.302350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.369571image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:07.043727image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.703033image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.327335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.253089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:13.869242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.452076image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:17.057374image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.585879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.096333image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.153236image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.604823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.188341image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.766565image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.341573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:30.008085image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:48.795422image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:50.536636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:52.485256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:54.080168image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:55.981941image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:41:58.514824image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:00.175394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:01.767712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:03.366906image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:05.435772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:07.109547image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:08.770110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:10.398210image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:12.316084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:13.933051image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:15.516631image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:17.122536image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:18.647521image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:20.160582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:22.214404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:23.667369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:25.251000image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:26.831531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T11:42:28.406465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T11:42:34.462679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.0000.9060.949-0.9500.9190.8750.4200.9480.3870.776-0.022-0.1770.767-0.8340.3390.9550.4250.9020.8740.063-0.058-0.0770.068-0.483-0.006
Total_Population0.9061.0000.956-0.9550.9860.9760.4610.9540.2990.828-0.032-0.1710.736-0.7900.4210.9480.5710.9060.8710.084-0.052-0.0570.077-0.5300.003
Households0.9490.9561.000-1.0000.9750.9040.5030.9990.3520.830-0.100-0.1860.812-0.8710.4180.9960.4270.9490.9200.058-0.071-0.0520.060-0.5170.024
Population_per_Households-0.950-0.955-1.0001.000-0.973-0.903-0.502-0.999-0.359-0.8300.1000.186-0.8130.871-0.418-0.996-0.426-0.948-0.919-0.0540.0730.052-0.0560.519-0.027
Male_Population0.9190.9860.975-0.9731.0000.9420.5210.9730.3140.834-0.061-0.1690.763-0.8180.4340.9660.4980.9310.9000.079-0.058-0.0390.076-0.5410.009
Female_Population0.8750.9760.904-0.9030.9421.0000.3430.9030.2810.7980.085-0.1640.671-0.7340.3250.8980.6560.8330.7890.074-0.055-0.0830.064-0.5340.007
Male_Female_Ratio0.4200.4610.503-0.5020.5210.3431.0000.5030.2840.360-0.4990.3650.459-0.3960.8240.4990.0400.5180.502-0.0310.007-0.023-0.011-0.3750.076
Population_aging_Ratio0.9480.9540.999-0.9990.9730.9030.5031.0000.3600.831-0.099-0.1860.817-0.8720.4180.9960.4210.9460.9170.052-0.073-0.0520.054-0.5190.030
Power_usage0.3870.2990.352-0.3590.3140.2810.2840.3601.0000.105-0.1690.0120.312-0.3260.2310.3860.1330.3110.301-0.801-0.588-0.470-0.790-0.2740.721
Num_of_Business0.7760.8280.830-0.8300.8340.7980.3600.8310.1051.0000.049-0.2430.643-0.6740.2790.8150.4350.8060.7830.2250.0400.0390.221-0.414-0.130
Business_above_100-0.022-0.032-0.1000.100-0.0610.085-0.499-0.099-0.1690.0491.000-0.292-0.1970.066-0.689-0.1000.302-0.101-0.1100.1000.0130.0140.071-0.045-0.065
complex_area-0.177-0.171-0.1860.186-0.169-0.1640.365-0.1860.012-0.243-0.2921.000-0.2230.1110.343-0.182-0.014-0.293-0.339-0.0510.014-0.236-0.024-0.1540.005
annual_household_income0.7670.7360.812-0.8130.7630.6710.4590.8170.3120.643-0.197-0.2231.000-0.8650.3680.816-0.0180.7500.7280.015-0.031-0.0160.023-0.3340.004
High_School_Graduate_num-0.834-0.790-0.8710.871-0.818-0.734-0.396-0.872-0.326-0.6740.0660.111-0.8651.000-0.245-0.874-0.231-0.769-0.740-0.0250.0870.105-0.0340.458-0.011
High_School_Graduate_ratio0.3390.4210.418-0.4180.4340.3250.8240.4180.2310.279-0.6890.3430.368-0.2451.0000.4200.0420.4570.4440.0050.085-0.0630.019-0.2380.006
personal_expense0.9550.9480.996-0.9960.9660.8980.4990.9960.3860.815-0.100-0.1820.816-0.8740.4201.0000.4270.9470.9180.039-0.083-0.0980.042-0.4890.026
benefits_vs_personal_expense0.4250.5710.427-0.4260.4980.6560.0400.4210.1330.4350.302-0.014-0.018-0.2310.0420.4271.0000.3940.3660.029-0.115-0.1620.012-0.3550.034
employment_ratio0.9020.9060.949-0.9480.9310.8330.5180.9460.3110.806-0.101-0.2930.750-0.7690.4570.9470.3941.0000.9940.091-0.0370.0140.087-0.4540.002
employment_insurance_ratio0.8740.8710.920-0.9190.9000.7890.5020.9170.3010.783-0.110-0.3390.728-0.7400.4440.9180.3660.9941.0000.093-0.0380.0380.086-0.4170.001
Average_Temp0.0630.0840.058-0.0540.0790.074-0.0310.052-0.8010.2250.100-0.0510.015-0.0250.0050.0390.0290.0910.0931.0000.7470.4860.9910.171-0.906
Monthly_Rainfall-0.058-0.052-0.0710.073-0.058-0.0550.007-0.073-0.5880.0400.0130.014-0.0310.0870.085-0.083-0.115-0.037-0.0380.7471.0000.5270.7330.193-0.711
Average_Relative_Humadity-0.077-0.057-0.0520.052-0.039-0.083-0.023-0.052-0.4700.0390.014-0.236-0.0160.105-0.063-0.098-0.1620.0140.0380.4860.5271.0000.455-0.260-0.282
Ground_Temp0.0680.0770.060-0.0560.0760.064-0.0110.054-0.7900.2210.071-0.0240.023-0.0340.0190.0420.0120.0870.0860.9910.7330.4551.0000.184-0.913
Average_Wind-0.483-0.530-0.5170.519-0.541-0.534-0.375-0.519-0.274-0.414-0.045-0.154-0.3340.458-0.238-0.489-0.355-0.454-0.4170.1710.193-0.2600.1841.000-0.388
Average_Pressure-0.0060.0030.024-0.0270.0090.0070.0760.0300.721-0.130-0.0650.0050.004-0.0110.0060.0260.0340.0020.001-0.906-0.711-0.282-0.913-0.3881.000

Missing values

2023-09-01T11:42:30.117307image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T11:42:30.307799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-019896.12903244033.018479.02.38286722504.021529.01.04528821.262609000.01083.017.02726943.0555.0570.01.04395627625210.0112.77339.00.166670-5.040.866.0-2.71.01005.5
2010-02-019803.00000043975.018490.02.37831322448.021527.01.04278321.359106000.01122.017.02726943.0555.0570.01.04395627625210.0112.77459.00.1696191.262.162.02.11.21002.8
2010-03-019267.80645244150.018545.02.38069622513.021637.01.04048621.248994000.01295.019.02726943.0555.0570.01.04395627625210.0112.77647.00.1732054.678.263.06.21.61001.8
2010-04-018958.63333344208.018584.02.37882022551.021657.01.04128021.246774000.01630.021.02726943.0555.0570.01.04395627625210.0112.77727.00.17478710.058.551.012.41.7999.7
2010-05-019054.51612944224.018608.02.37661222583.021641.01.04352821.337443000.01703.021.02726943.0555.0570.01.04395627625210.0112.77802.00.17642017.878.057.020.21.4993.3
2010-06-019448.56666744173.018632.02.37081422549.021624.01.04277721.332655000.01834.022.02726943.0555.0570.01.04395627625210.0112.77755.00.17556023.486.663.026.01.1992.4
2010-07-019349.96774244085.018639.02.36520222484.021601.01.04087821.530317000.01417.019.02726943.0555.0570.01.04395627625210.0112.77846.00.17797426.1174.874.027.61.1990.9
2010-08-019471.16129044046.018648.02.36196922450.021596.01.03954421.532057000.01518.021.02726943.0555.0570.01.04395627625210.0112.78040.00.18253627.1269.978.028.61.1993.6
2010-09-019448.10000044034.018660.02.35980722444.021590.01.03955521.631503000.01607.021.02726943.0555.0570.01.04395627625210.0112.78167.00.18547021.1550.276.023.60.9996.4
2010-10-019085.61290344359.018959.02.33973322588.021771.01.03752721.633242000.01323.021.02726943.0555.0570.01.04395627625210.0112.78268.00.18638813.724.769.014.70.81001.4
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-0117932.06451646399.023230.01.99737423812.022587.01.05423529.956862969.02756.016.01763060.01121.0470.01.15196156297395.0108.111531.00.2485188.873.258.08.91.21001.4
2021-04-0120451.80000046510.023342.01.99254623861.022649.01.05351230.052645774.03008.015.01763060.01121.0470.01.15196156297395.0108.111617.00.24977413.888.950.015.21.41000.3
2021-05-0120838.41935546589.023440.01.98758523910.022679.01.05427930.247949537.03118.016.01763060.01121.0470.01.15196156297395.0108.111579.00.24853516.5142.766.018.91.1991.5
2021-06-0120399.43333346614.023486.01.98475723927.022687.01.05465730.347599857.03250.016.01763060.01121.0470.01.15196156297395.0108.111579.00.24840222.3133.068.025.71.1990.6
2021-07-0121386.80645246652.023541.01.98173423936.022716.01.05370730.449746277.02744.015.01763059.01121.0470.01.15196156297395.0108.111826.00.25349426.7199.871.030.61.0991.3
2021-08-0121192.09677446635.023547.01.98050723922.022713.01.05322930.554880741.02608.015.01763059.01121.0470.01.15196156297395.0108.111903.00.25523724.6172.974.028.01.0991.7
2021-09-0119376.50000046566.023516.01.98018423895.022671.01.05399030.749708607.04376.021.01763059.01121.0470.01.15196156297395.0108.111851.00.25449921.1183.573.024.20.9996.5
2021-10-0119064.29032346586.023559.01.97741823916.022670.01.05496330.848390346.02650.015.01763059.01121.0470.01.15196156297395.0108.111981.00.25718014.445.673.016.20.71003.7
2021-11-0118516.63333346583.023585.01.97511123903.022680.01.05392430.956970800.02961.015.01763059.01121.0470.01.15196156297395.0108.112140.00.2606107.355.967.06.80.91001.6
2021-12-0118650.64516146481.023593.01.97011823859.022622.01.05468131.164786777.03146.014.01763059.01121.0470.01.15196156297395.0108.111825.00.2544050.34.961.0-0.11.01006.3